Python offers four distinct approaches to parallel processing: threads (lightweight but limited by GIL for CPU tasks), multiprocessing (true parallelism with separate processes and memory), coroutines (cooperative multitasking for I/O operations), and subinterpreters (isolated environments with less overhead than

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Training LLM Agents using RL without writing any custom reward functions​ 4 parallel processing techniques in Python ​Decision guide

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